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Overexpression of the regulatory subunit of glutamate‐cysteine ligase enhances monoclonal antibody production in CHO cells

Overview of attention for article published in Biotechnology & Bioengineering, May 2017
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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3 patents

Citations

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22 Dimensions

Readers on

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64 Mendeley
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Title
Overexpression of the regulatory subunit of glutamate‐cysteine ligase enhances monoclonal antibody production in CHO cells
Published in
Biotechnology & Bioengineering, May 2017
DOI 10.1002/bit.26316
Pubmed ID
Authors

Camila A. Orellana, Esteban Marcellin, Peter P. Gray, Lars K. Nielsen

Abstract

For decades, Chinese hamster ovary (CHO) cells have been the preferred host for therapeutic monoclonal antibody (mAb) production; however, increasing mAb titer by rational engineering remains a challenge. Our previous proteomic analysis in CHO cells suggested that a higher content of glutathione (GSH) might be related to higher productivity. GSH is an important antioxidant, cell detoxifier, and is required to ensure the formation of native disulfide bonds in proteins. To investigate the involvement of GSH in mAb production, we generated stable CHO cell lines overexpressing genes involved in the first step of GSH synthesis; namely the glutamate-cysteine ligase catalytic subunit (Gclc) and the glutamate-cysteine ligase modifier subunit (Gclm). The two genes were reconstructed from our RNA-Seq de novo assembly and then were functionally annotated. Once the sequences of the genes were confirmed using proteogenomics, a transiently expressed monoclonal antibody (mAb) was introduced into cell lines overexpressing either Gclc or Gclm. The new cell lines were compared for mAb production to the parental cell line and changes at the proteome level were measured using SWATH. As per our previous proteomics observations, overexpressing Gclm improved productivity, titer, and the frequency of high producer clones by 70%. In contrast, overexpressing Gclc, which produced a higher amount of GSH, did not increase mAb production. We show that GSH cannot be linked to higher productivity and that Gclm may be controlling other cellular processes involved in mAb production yet to be elucidated. This article is protected by copyright. All rights reserved.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 17%
Student > Ph. D. Student 10 16%
Other 5 8%
Student > Bachelor 4 6%
Student > Doctoral Student 4 6%
Other 10 16%
Unknown 20 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 31%
Agricultural and Biological Sciences 6 9%
Chemical Engineering 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Engineering 3 5%
Other 3 5%
Unknown 23 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 July 2022.
All research outputs
#8,537,346
of 25,382,440 outputs
Outputs from Biotechnology & Bioengineering
#2,528
of 6,450 outputs
Outputs of similar age
#126,242
of 324,786 outputs
Outputs of similar age from Biotechnology & Bioengineering
#16
of 51 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,450 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,786 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.